LanceDB Hybrid Search

Run LanceDB's native vector and full-text search together in a single query.

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIResponses
from agno.vectordb.lancedb import LanceDb, SearchType

knowledge = Knowledge(
    vector_db=LanceDb(
        table_name="hybrid_recipes",
        uri="tmp/lancedb",
        search_type=SearchType.hybrid,
    )
)
agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    knowledge=knowledge,
    search_knowledge=True,
    markdown=True,
)

if __name__ == "__main__":
    knowledge.insert(
        name="Recipes",
        url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
        metadata={"doc_type": "recipe_book"},
    )
    agent.print_response(
        "How do I make chicken and galangal in coconut milk soup?",
        stream=True,
    )

SearchType.hybrid runs LanceDB's native vector and full-text search and combines the results.

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno lancedb openai pypdf

Export the API key

export OPENAI_API_KEY=your_openai_api_key_here

Run the example

python lance_db_hybrid_search.py

Next Steps

TaskGuide
Insert, search, and delete contentLanceDB usage
Call async Agno methodsAsync LanceDB usage
Configure search behaviorLanceDB overview